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A Z-Number Valued Regression Model and Its Application

Lala M. Zeinalovaa, O. H. Huseynovb, P. Sharghic

a Department of Computer Engineering, Azerbaijan State University of Oil and Industry, Baku, Azerbaijan;
b Research Laboratory of Intelligent Control and Decision Making Systems in Industry and Economics, Azerbaijan State Oil and Industry University, Baku, Azerbaijan;
c University of Kyrenia, Department of Maritime Management, Kyrenia, North Cyprus

* Corresponding Author:Lala M. Zeinalova,

Intelligent Automation & Soft Computing 2018, 24(1), 187-192.


Regression analysis is widely used for modeling of real-world processes in various fields. It should be noted that information relevant to real-world processes is characterized by imprecision and partial reliability. This involves combination of fuzzy and probabilistic uncertainties. Prof.. L. Zadeh introduced the concept of a Z-number as a formal construct for dealing with such information. The present stateof-the-art of regression analysis under Z-number valued information is very scarce. In this paper we consider a Z-number valued multiple regression analysis and its application to a real-world decisionmaking problem. The obtained results show applicability of the proposed approach.


Cite This Article

L. M. Zeinalova, O. H. Huseynov and P. Sharghi, "A z-number valued regression model and its application," Intelligent Automation & Soft Computing, vol. 24, no.1, pp. 187–192, 2018.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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